关于MySQL数据库韩文数据转移的问题
韩文的编码可以采用utf-8或者是专用的euc-kr编码来存储。在今天的工作中，需要将一个韩文的网站数据转移到本地进行测试，然后转移
韩文的编码可以采用utf-8或者是专用的euc-kr编码来存储。在今天的工作中，需要将一个韩文的网站数据转移到本地进行测试，
然后转移到另一个服务器的数据库上。使用的导入导出mysql工具是基于网页和php的phpmyadmin。
MySQL 客户端版本: 5.0.51a
MySQL 字符集: UTF-8 Unicode (utf8)
Apache/2.2.15 (Win32) PHP/5.2.13
PHP 扩展: mysqli
网站数据内容：韩文和英文，没有中文数据。
1.phpmyadmin的导出功能导出网站韩文数据，建议导出保存为zip格式或gzip格式，推荐gzip；
2.建立本地的数据库，字符集设置为utf-8，，整理：utf-8-general-ci；
3.利用phpmyadmin工具将sql文件以euc-kr字符集格式导入到新建的数据库中。此时可以浏览到韩文的数据；
4.需要注意的时候，在代码中，需要设置好字符集的格式，因为默认的字符集也许不支持网页正确显示韩文数据，会出现乱码问题；
需要设置好客户端访问数据库的字符集和返回给客户端的结果集的字符集，例如在php代码下：
mysql_query("SET NAMES euckr");
mysql_query("SET CHARACTER SET euckr");
5.设置好网页默认显示的字符集，设置办法：
力⑨
Hot AI Tools
Undresser.AI Undress
AI-powered app for creating realistic nude photos
AI Clothes Remover
Online AI tool for removing clothes from photos.
Undress AI Tool
Undress images for free
Clothoff.io
AI clothes remover
AI Hentai Generator
Generate AI Hentai for free.
Hot Article
Hot Tools
Notepad++7.3.1
Easy-to-use and free code editor
SublimeText3 Chinese version
Chinese version, very easy to use
Zend Studio 13.0.1
Powerful PHP integrated development environment
Dreamweaver CS6
Visual web development tools
SublimeText3 Mac version
God-level code editing software (SublimeText3)
Hot Topics
Use ddrescue to recover data on Linux
Mar 20, 2024 pm 01:37 PM
DDREASE is a tool for recovering data from file or block devices such as hard drives, SSDs, RAM disks, CDs, DVDs and USB storage devices. It copies data from one block device to another, leaving corrupted data blocks behind and moving only good data blocks. ddreasue is a powerful recovery tool that is fully automated as it does not require any interference during recovery operations. Additionally, thanks to the ddasue map file, it can be stopped and resumed at any time. Other key features of DDREASE are as follows: It does not overwrite recovered data but fills the gaps in case of iterative recovery. However, it can be truncated if the tool is instructed to do so explicitly. Recover data from multiple files or blocks to a single
Open source! Beyond ZoeDepth! DepthFM: Fast and accurate monocular depth estimation!
Apr 03, 2024 pm 12:04 PM
0.What does this article do? We propose DepthFM: a versatile and fast state-of-the-art generative monocular depth estimation model. In addition to traditional depth estimation tasks, DepthFM also demonstrates state-of-the-art capabilities in downstream tasks such as depth inpainting. DepthFM is efficient and can synthesize depth maps within a few inference steps. Let’s read about this work together ~ 1. Paper information title: DepthFM: FastMonocularDepthEstimationwithFlowMatching Author: MingGui, JohannesS.Fischer, UlrichPrestel, PingchuanMa, Dmytr
How to use Excel filter function with multiple conditions
Feb 26, 2024 am 10:19 AM
If you need to know how to use filtering with multiple criteria in Excel, the following tutorial will guide you through the steps to ensure you can filter and sort your data effectively. Excel's filtering function is very powerful and can help you extract the information you need from large amounts of data. This function can filter data according to the conditions you set and display only the parts that meet the conditions, making data management more efficient. By using the filter function, you can quickly find target data, saving time in finding and organizing data. This function can not only be applied to simple data lists, but can also be filtered based on multiple conditions to help you locate the information you need more accurately. Overall, Excel’s filtering function is a very practical
Google is ecstatic: JAX performance surpasses Pytorch and TensorFlow! It may become the fastest choice for GPU inference training
Apr 01, 2024 pm 07:46 PM
The performance of JAX, promoted by Google, has surpassed that of Pytorch and TensorFlow in recent benchmark tests, ranking first in 7 indicators. And the test was not done on the TPU with the best JAX performance. Although among developers, Pytorch is still more popular than Tensorflow. But in the future, perhaps more large models will be trained and run based on the JAX platform. Models Recently, the Keras team benchmarked three backends (TensorFlow, JAX, PyTorch) with the native PyTorch implementation and Keras2 with TensorFlow. First, they select a set of mainstream
Slow Cellular Data Internet Speeds on iPhone: Fixes
May 03, 2024 pm 09:01 PM
Facing lag, slow mobile data connection on iPhone? Typically, the strength of cellular internet on your phone depends on several factors such as region, cellular network type, roaming type, etc. There are some things you can do to get a faster, more reliable cellular Internet connection. Fix 1 – Force Restart iPhone Sometimes, force restarting your device just resets a lot of things, including the cellular connection. Step 1 – Just press the volume up key once and release. Next, press the Volume Down key and release it again. Step 2 – The next part of the process is to hold the button on the right side. Let the iPhone finish restarting. Enable cellular data and check network speed. Check again Fix 2 – Change data mode While 5G offers better network speeds, it works better when the signal is weaker
The vitality of super intelligence awakens! But with the arrival of self-updating AI, mothers no longer have to worry about data bottlenecks
Apr 29, 2024 pm 06:55 PM
I cry to death. The world is madly building big models. The data on the Internet is not enough. It is not enough at all. The training model looks like "The Hunger Games", and AI researchers around the world are worrying about how to feed these data voracious eaters. This problem is particularly prominent in multi-modal tasks. At a time when nothing could be done, a start-up team from the Department of Renmin University of China used its own new model to become the first in China to make "model-generated data feed itself" a reality. Moreover, it is a two-pronged approach on the understanding side and the generation side. Both sides can generate high-quality, multi-modal new data and provide data feedback to the model itself. What is a model? Awaker 1.0, a large multi-modal model that just appeared on the Zhongguancun Forum. Who is the team? Sophon engine. Founded by Gao Yizhao, a doctoral student at Renmin University’s Hillhouse School of Artificial Intelligence.
The U.S. Air Force showcases its first AI fighter jet with high profile! The minister personally conducted the test drive without interfering during the whole process, and 100,000 lines of code were tested for 21 times.
May 07, 2024 pm 05:00 PM
Recently, the military circle has been overwhelmed by the news: US military fighter jets can now complete fully automatic air combat using AI. Yes, just recently, the US military’s AI fighter jet was made public for the first time and the mystery was unveiled. The full name of this fighter is the Variable Stability Simulator Test Aircraft (VISTA). It was personally flown by the Secretary of the US Air Force to simulate a one-on-one air battle. On May 2, U.S. Air Force Secretary Frank Kendall took off in an X-62AVISTA at Edwards Air Force Base. Note that during the one-hour flight, all flight actions were completed autonomously by AI! Kendall said - "For the past few decades, we have been thinking about the unlimited potential of autonomous air-to-air combat, but it has always seemed out of reach." However now,
The first robot to autonomously complete human tasks appears, with five fingers that are flexible and fast, and large models support virtual space training
Mar 11, 2024 pm 12:10 PM
This week, FigureAI, a robotics company invested by OpenAI, Microsoft, Bezos, and Nvidia, announced that it has received nearly $700 million in financing and plans to develop a humanoid robot that can walk independently within the next year. And Tesla’s Optimus Prime has repeatedly received good news. No one doubts that this year will be the year when humanoid robots explode. SanctuaryAI, a Canadian-based robotics company, recently released a new humanoid robot, Phoenix. Officials claim that it can complete many tasks autonomously at the same speed as humans. Pheonix, the world's first robot that can autonomously complete tasks at human speeds, can gently grab, move and elegantly place each object to its left and right sides. It can autonomously identify objects
